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Record W2493104838 · doi:10.1093/0195168747.001.0001

Creating the Twentieth Century

2005· book· en· W2493104838 on OpenAlexaff
Vaclav Smil

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Abstract This book is a systematic interdisciplinary account of the history of unprecedented technical advances that took place in Europe and North America during the three pre-WWI generations and of their truly epochal consequences. It takes a close look at four classes of fundamental innovations: formation, diffusion, and standardization of electricity-generating systems and the distribution and uses of this most versatile form of energy; invention and rapid adoption of internal combustion engines, the dominant prime mover in transportation; the unprecedented pace of the introduction of new materials and industrial chemical syntheses; and the birth of a new information age thanks to the new means of communication. These chapters are followed by an evaluation of the lasting impact these advances had on the 20th century, that is, the creation of high-energy societies engaged in mass production aimed at improving standards of living.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.006
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.215
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2005
Admission routes1
Has abstractyes

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